scholarly journals A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors

2021 ◽  
Author(s):  
Jasmine H. Hughes ◽  
Ron J. Keizer
Keyword(s):  
Machine Learning ◽  
Bayesian Estimation ◽  
Maximum A Posteriori ◽  
A Posteriori ◽  
Hybrid Machine ◽  
Pharmacokinetic Approach

scholarly journals Maximum a posteriori Bayesian estimation of epirubicin clearance by limited sampling

2004 ◽  
Vol 57 (6) ◽  
pp. 764-772 ◽  
Author(s):  
Lorraine D. Ralph ◽  
Alison H. Thomson ◽  
Nicola A. Dobbs ◽  
Chris Twelves
Keyword(s):  
Bayesian Estimation ◽  
Maximum A Posteriori ◽  
A Posteriori ◽  
Limited Sampling

Maximum A Posteriori Bayesian Estimation of Oral Cyclosporin Pharmacokinetics in Patients with Stable Renal Transplants

2002 ◽  
Vol 41 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Fr??d??ric Leger ◽  
Jean Debord ◽  
Yann Le Meur ◽  
Annick Rousseau ◽  
Mathias B??chler ◽  
...  
Keyword(s):  
Bayesian Estimation ◽  
Maximum A Posteriori ◽  
A Posteriori ◽  
Renal Transplants ◽  
Oral Cyclosporin

Data science in economics: comprehensive review of advanced machine learning and deep learning methods

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Ferdinand Filip ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Data Science ◽  
State Of The Art ◽  
Science Methods ◽  
Learning Models ◽  
Diverse Range ◽  
Hybrid Machine ◽  
Economics Research

This paper provides a state-of-the-art investigation of advances in data science in emerging economic applications. The analysis was performed on novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a wide and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, was used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which, based on the accuracy metric, outperform other learning algorithms. It is further expected that the trends will converge toward the advancements of sophisticated hybrid deep learning models.

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